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Openaci

Openaci is an experimental Python framework and command-line application for directing an agent to perform computer tasks from natural-language instructions.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Openaci — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Openaci when you want to explore or prototype an agent that acts on a computer from written instructions, and can review its behavior in a controlled environment.

Who it is for

  • Developers exploring agent-driven computer automation.
  • Researchers prototyping interfaces between AI agents and desktop operations.

Documented uses

  • Set up a local agent-computer interface with an OpenAI API key.
  • Launch the CLI and provide a natural-language instruction for the agent.
  • Interrupt an active command-line run with Ctrl+C.
Before you choose

Requirements & limits

  • The documented setup requires an OpenAI API key.
  • The project is a local Python CLI workflow, not a documented hosted service.
  • macOS setup adds Xcode developer tools and pyobjc-framework-ApplicationServices.
  • The README labels the code experimental and advises against relying on it for production or critical systems.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up Openaci and launch its command-line app

Prepare the documented Python environment and open the agent command-line application.

Before you start

  • A local machine with Python and pip.
  • An OpenAI API key.
  • For macOS: the Xcode developer package and pyobjc-framework-ApplicationServices.

Steps

  1. Clone the Openaci repository and change into its directory.

  2. Install dependencies with pip install -r requirements.txt.

  3. Set OPENAI_API_KEY to your OpenAI API key.

  4. Install the package in editable mode with pip install -e ., then run python openaci/cli_app.py.

Expected outcome

The command-line application starts and is ready for an agent instruction.

Guide limitations

  • The project is described as experimental.
  • The README recommends controlled testing and warns of possible unintended actions, data loss, and system instability.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
12 October 2026
Original website title
simular-ai/OpenACI · Official homepage title · retained in its source language
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